Qingyang Zhang

13 papers C 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Multiobjective Optimisation Based on Vector Autoregressive Evolution. IEEE Trans. Evol. Comput. Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
2025	J	`jnl`	Multi-strategy improved African Vulture Optimization Algorithm for global optimization and engineering design problems. Intell. Data Anal. Xinzhe Li, Qingyang Zhang, Shengxiang Yang, Yongquan Dong
2025	J	`jnl`	Solving dynamic multi-objective engineering design problems via fuzzy c-means prediction algorithm. Swarm Evol. Comput. Qingyang Zhang, Xueliang Fu, Shengxiang Yang, Shouyong Jiang, Miqing Li, Zedong Zheng
2023	J	`jnl`	Biological survival optimization algorithm with its engineering and neural network applications. Soft Comput. Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong
2023	—	`conf`	Multi-objective Biological Survival Optimizer with Application in Engineering Problems. BIC-TA (1) Xueliang Fu, Qingyang Zhang
2023	J	`jnl`	Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation. CoRR Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
2022	J	`jnl`	Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. Inf. Sci. Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang
2021	C	`conf`	On Analysis of Irregular Pareto Front Shapes. EMO Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang
2020	J	`jnl`	Novel Prediction Strategies for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li
2019	J	`jnl`	Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization. Soft Comput. Qingyang Zhang, Ronggui Wang, Juan Yang, Andrew Lewis, Francisco Chiclana, Shengxiang Yang
2018	J	`jnl`	Modified collective decision optimization algorithm with application in trajectory planning of UAV. Appl. Intell. Qingyang Zhang, Ronggui Wang, Juan Yang, Kai Ding, Yongfu Li, Jiangen Hu
2017	J	`jnl`	Collective decision optimization algorithm: A new heuristic optimization method. Neurocomputing Qingyang Zhang, Ronggui Wang, Juan Yang, Kai Ding, Yongfu Li, Jiangen Hu
2017	J	`jnl`	Large scale automatic image annotation based on convolutional neural network. J. Vis. Commun. Image Represent. Ronggui Wang, Yunfei Xie, Juan Yang, Lixia Xue, Min Hu, Qingyang Zhang

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.